Cover Image

Why Are We Lonely? Leveraging LLMs to Measure and Understand Loneliness in Caregivers and Non-caregivers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Michelle Damin, Paek, Ellie S., Lin, Yufen, Mroz, Emily, Chung, Jane, Choi, Jinho D.
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Finding A Voice: Exploring the Potential of African American Dialect and Voice Generation for Chatbots
by: Finch, Sarah E., et al.
Published: (2025)

Engagement in Self‐Care Activities among Dementia Caregivers: A Content Analysis of Micro‐Longitudinal Digital Journal Data
by: Jane Chung, et al.
Published: (2025)

Structured yet Bounded Temporal Understanding in Large Language Models
by: Zhang, Damin, et al.
Published: (2025)

Do We Still Need Audio? Rethinking Speaker Diarization with a Text-Based Approach Using Multiple Prediction Models
by: Wu, Peilin, et al.
Published: (2025)

Leveraging Explicit Reasoning for Inference Integration in Commonsense-Augmented Dialogue Models
by: Finch, Sarah E., et al.
Published: (2024)

Reference-Aligned Retrieval-Augmented Question Answering over Heterogeneous Proprietary Documents
by: Choi, Nayoung, et al.
Published: (2025)

Do LLMs Understand Why We Write Diaries? A Method for Purpose Extraction and Clustering
by: Goloviznina, Valeriya, et al.
Published: (2025)

DYCP: Dynamic Context Pruning for Long-Form Dialogue with LLMs
by: Choi, Nayoung, et al.
Published: (2026)

Taxonomy-based CheckList for Large Language Model Evaluation
by: Zhang, Damin
Published: (2023)

Measuring Sycophancy of Language Models in Multi-turn Dialogues
by: Hong, Jiseung, et al.
Published: (2025)

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
by: Choi, Yumin, et al.
Published: (2025)

Revisiting Caregiver Preparedness: Development of a Multidimensional Measure for Dementia Caregivers
by: Emily Mroz, et al.
Published: (2025)

Leveraging LLMs for Dialogue Quality Measurement
by: Jia, Jinghan, et al.
Published: (2024)

Memorization or Reasoning? Exploring the Idiom Understanding of LLMs
by: Kim, Jisu, et al.
Published: (2025)

We're Different, We're the Same: Creative Homogeneity Across LLMs
by: Wenger, Emily, et al.
Published: (2025)

TRUST: An LLM-Based Dialogue System for Trauma Understanding and Structured Assessments
by: Tu, Sichang, et al.
Published: (2025)

Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction
by: Wu, Shanglin, et al.
Published: (2025)

What is Your Favorite Gender, MLM? Gender Bias Evaluation in Multilingual Masked Language Models
by: Yu, Jeongrok, et al.
Published: (2024)

D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model
by: Byun, Grace, et al.
Published: (2025)

CUTE: Measuring LLMs' Understanding of Their Tokens
by: Edman, Lukas, et al.
Published: (2024)

Automating PTSD Diagnostics in Clinical Interviews: Leveraging Large Language Models for Trauma Assessments
by: Tu, Sichang, et al.
Published: (2024)

ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AI
by: Finch, Sarah E., et al.
Published: (2024)

Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking
by: Finch, James D., et al.
Published: (2024)

LLMs as Models for Analogical Reasoning
by: Musker, Sam, et al.
Published: (2024)

Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs
by: Bai, Jun, et al.
Published: (2025)

KMMLU: Measuring Massive Multitask Language Understanding in Korean
by: Son, Guijin, et al.
Published: (2024)

Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations
by: Sun, Yiyou, et al.
Published: (2025)

Why We Build Local Large Language Models: An Observational Analysis from 35 Japanese and Multilingual LLMs
by: Saito, Koshiro, et al.
Published: (2024)

Secure Multifaceted-RAG for Enterprise: Hybrid Knowledge Retrieval with Security Filtering
by: Byun, Grace, et al.
Published: (2025)

LLM-as-a-Grader: Practical Insights from Large Language Model for Short-Answer and Report Evaluation
by: Byun, Grace, et al.
Published: (2025)

PersonaKit (PK): A Plug-and-Play Platform for User Testing Diverse Roles in Full-Duplex Dialogue
by: Jeon, Hyunbae, et al.
Published: (2026)

Talking Heads: Understanding Inter-layer Communication in Transformer Language Models
by: Merullo, Jack, et al.
Published: (2024)

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline
by: Lu, Meng, et al.
Published: (2025)

Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-Ideality
by: Wu, Taiqiang, et al.
Published: (2026)

We Can't Understand AI Using our Existing Vocabulary
by: Hewitt, John, et al.
Published: (2025)

“How can I be a caregiver for a second time?” A call to action to acknowledge and support experienced family caregivers
by: Emily L. Mroz, et al.
Published: (2024)

CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model
by: Go, Dongyoung, et al.
Published: (2024)

Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement
by: Mousavian, Maryam, et al.
Published: (2025)

Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?
by: Kim, Jeonghye, et al.
Published: (2026)

Generative Induction of Dialogue Task Schemas with Streaming Refinement and Simulated Interactions
by: Finch, James D., et al.
Published: (2025)